Digital Commons Network^™

Digitalization In Food Supply Chains: A Bibliometric Review And Key-Route Main Path Analysis, Abderahman Rejeb, Karim Rejeb, Alireza Abdollahi, Suhaiza Zailani, Mohammad Iranmanesh, Morteza Ghobakhloo

Research outputs 2022 to 2026

Technological advances such as blockchain, artificial intelligence, big data, social media, and geographic information systems represent a building block of the digital transformation that supports the resilience of the food supply chain (FSC) and increases its efficiency. This paper reviews the literature surrounding digitalization in FSCs. A bibliometric and key-route main path analysis was carried out to objectively and analytically uncover the knowledge development in digitalization within the context of sustainable FSCs. The research began with the selection of 2140 articles published over nearly five decades. Then, the articles were examined according to several bibliometric metrics such as year of …

Women's Experiences Of Breech Birth Decision Making: An Integrated Review, Sara E. Morris, Deborah Sundin, Sadie Geraghty

Research outputs 2022 to 2026

INTRODUCTION: Currently, caesarean section is the primary mode of birth for a breech presenting fetus, leading to a deskilling of clinicians and limitation of birth choices for women. The aim of this review is to present a synthesized summary of existing literature related to women's experiences of breech birth mode decision-making. METHODS: A systematic search of the literature was conducted in April 2021, utilizing five databases to identify and obtain peer-reviewed articles meeting the predetermined selection criteria. RESULTS: Four major categories were synthesized from the integrated review: 1) Women who desire a vaginal birth may experience a range of negative …

Educator Handbook For Designing Inclusive Entrepreneurship Courses In Higher Education, Deirdre Mcquillan, Sylvia Gavigan, Antonio Juan Briones, Iulia Clitan, Dimitra Milioni, Vlad Muresan, Panayiota Polykarpou

Books/Book Chapters

This handbook is developed for educators in entrepreneurship within universities and other higher education institutions. The aim of the handbook is to help underrepresented student groups within their courses. It is also useful for academics who want to develop entrepreneurship courses for specific minority groups. The notion of who underrepresented entrepreneurship students are may differ across institutions and across countries. At a global level, the OECD identifies six important cohorts: women, youth, seniors, the unemployed, immigrants, and people with disabilities (OECD, 2021)

Predictors And Determinants Of Albuminuria In People With Prediabetes And Diabetes Based On Smoking Status: A Cross-Sectional Study Using The Uk Biobank Data, Debasish Kar, Aya El-Wazir, Gayathri Delanerolle, Anna Forbes, James P. Sheppard, Mintu Nath, Mark Joy, Nicholas Cole, J. Ranjit Arnold, Andrew Lee, Michael Feher, Melanie J. Davies, Kamlesh Khunti, Simon De Lusignan, Elizabeth Goyder

Peninsula Medical School

No abstract provided.

A Media Archaeology Of Technologies Of Enchantment, Jane Hutchinson

School of Art, Design and Architecture Theses

This thesis explores how an understanding of an immaterial dimension of human experience was expressed and experienced in the context of nineteenth century engagement with science and technology. Drawing upon methods of media archaeology, it presents examples of visual technologies where apparatus and images representative of scientific and technological objectivity appear to have been appropriated and modified for the purpose of experiencing this dimension, an experience this thesis calls enchantment. The thesis suggests that some period specific behaviours associated with these visual technologies are sophisticated and subtle mechanisms that contribute to the affective and cognitive experience of enchantment. The flickering …

Robert Rauschenberg And Modernism’S (Other) Masculinity, Harry Trepess

School of Law, Humanities and Social Sciences Theses

My project is concerned with understanding and identifying the possibility of self-censorship, within a queer theory framework, in Robert Rauschenberg's series of Combine works. Starting out by understanding ideas and theoretical concepts behind censorship (specifically Self-censorship, whether subliminal or acknowledged), through the work of previous scholars. Helping to differentiate the various forms censorship can take, to better establish a definition of what it means to self-censor. Which is vital for the ability of identifying the possible presence of this within Rauschenberg’s practice during the period he created the Combines. Previous iconographical readings, within a queer theory framework, should form a …

Novel Data-Driven Spatial-Spectral Correlated Scheme For Dimensionality Reduction Of Hyperspectral Images, Yanming Zhang, Ping Yuan, Lijun Jiang, Hong Tat Ewe

Electrical and Computer Engineering Faculty Research & Creative Works

Hyperspectral imaging technology has been popularly applied in remote sensing because it collects echoed signals from across the electromagnetic (EM) spectrum and thereby contributes fruitfully spatial-spectral information. However, the processing or storage of high-data-volume hyperspectral images (HSIs), also viewed as snapshots varying with the EM spectrum, burdens the hardware resources, especially for the high spectral resolution and spatial resolution cases. To address this challenge, a novel unsupervised dimensionality reduction method based on the dynamic mode decomposition (DMD) algorithm is proposed to analyze hyperspectral data. This method decomposes the spatial-spectral HSIs in terms of spatial dynamic modes and corresponding spectral patterns. …

Dc Ir-Drop Analysis Of Power Distribution Networks By A Robin Transmission Condition-Enhanced Discontinuous Galerkin Method, An Fa Yang, Min Tang, Jun Fa Mao, Li (Lijun) Jun Jiang, Hakan Bagcii, Ping Li

Electrical and Computer Engineering Faculty Research & Creative Works

In this work, a novel Robin transmission condition (RTC)-enhanced discontinuous Galerkin (DG) method is proposed for the dc IR-drop analysis of power distribution networks with Joule heating effects included. Unlike the conventional DG method, the proposed DG method straightforwardly applied to discretize the second-order spatial partial differential governing equations for the electrostatic potential $\Phi $ and the steady-state temperature $T$. The numerical flux in DG used to facilitate the information exchange among neighboring subdomains introduces two additional variables: the current density $J$ for the electrical potential equation and the thermal flux $q$ for the thermal equation. To solve them, at …

A Novel Data-Driven Modeling Method For The Spatial-Temporal Correlated Complex Sea Clutter, Yanming Zhang, Lijun Jiang, Hong Tat Ewe

Electrical and Computer Engineering Faculty Research & Creative Works

The sea clutter, referred to as the time-varying radar backscatter from the ocean surface, plays a significant role in marine radar development. The ocean's complex hydrodynamics cause it to exhibit non-Gaussian and nonstationary characteristics, which brings challenges in the sea clutter modeling, especially for establishing its spatial-temporal correlated and coherent model. In this article, a data-driven method based on the Koopman mode decomposition (KMD) is proposed for modeling spatial-temporal correlated complex sea clutter. The method decomposes the coherent sea clutter dynamic behavior in terms of Koopman modes and corresponding temporal patterns. Then, these spatiotemporal patterns are used to construct the …

Juggling A Devil-Stick: Hybrid Orbit Stabilization Using The Impulse Controlled Poincaré Map, Nilay Kant, Ranjan Mukherjee

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The control design for juggling a devil-stick between two symmetric configurations is proposed. Impulsive forces are applied to the devil-stick at the two configurations; and impulse of the force and its point of application are modeled as the control inputs. The dynamics of the devil-stick is described by a single return Poincaré map, and it is shown that the control objective of juggling can be achieved by stabilizing a hybrid orbit. The impulse controlled Poincaré map (ICPM) approach, recently proposed for stabilization of continuous-time orbits of underactuated systems, is extended to achieve asymptotic stabilization of the hybrid orbit. The applicability …

Proportional Fair Clustered Federated Learning, Mohamed Nafea, Eugine Shin, Aylin Yener

Electrical and Computer Engineering Faculty Research & Creative Works

This paper studies federated learning (FL) with non-identical data generating distributions and under the notion of proportional fairness. Users are partitioned into disjoint clusters based on their data distributions, and a distinct model is learnt for each cluster. Different than previous work that considered clustering to optimize personalized learning performance, here clustering is inspected under the disparate impact doctrine which requires that protected classes (e.g., those of certain race or gender) have representations in every cluster that are approximately equal to their representation in the overall set of users. A family of iterative algorithms that balance the learning performance and …

Feature Learning For Optimal Control With B-Spline Representations, Vinay Kenny, Sixiong You, Chaoying Pei, Ran Dai

Mechanical and Aerospace Engineering Faculty Research & Creative Works

The paper develops a feature learning-based method to solve optimal control problems using B-splines to approximate the optimal solutions. The feature learning-based optimal control method can quickly generate near-optimal trajectories for general optimal control problems subject to system dynamics and constraints. The steps in the proposed method are as follows: Firstly, by representing the state and control variables with B-spline functions, the optimal control problem is converted into an approximate nonlinear programming (NLP) problem, where parameters of the B-splines are identified as features of the optimal solution. Secondly, for a specific problem with designated inputs, a dataset of the optimal …

Satellite Drag Coefficient Modeling For Thermosphere Science And Mission Operations, Piyush M. Mehta, Smriti N. Paul, Nicholas H. Crisp, Philip L. Sheridan, Christian Siemes, Günther March, Sean Bruinsma

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Satellite drag modeling remains the largest source of uncertainty affecting space operations in low Earth orbit. The uncertainty stems from inaccurate models for mass density and drag coefficient. Drag coefficient modeling also impacts scientific knowledge on the physics and dynamics of the upper atmosphere through the estimation of high-fidelity mass density from measurements of acceleration on-board satellites. Efforts over the last decade have pushed drag coefficient modeling in the right direction, however, have resulted in multiple methods and tools. We provide a comprehensive review of the drag coefficient modeling methods and tools. Current scale differences between thermospheric data sets mostly …

Effects Of Wheel Rotation On Long-Period Wake Dynamics Of The Drivaer Fastback Model, Matthew Aultman, Rodrigo Auza-Gutierrez, Kevin Disotell, Lian Duan

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Lattice Boltzmann method (LBM) simulations were performed to capture the long-period dynamics within the wake of a realistic DrivAer fastback model with stationary and rotating wheels. The simulations showed that the wake developed as a low-pressure torus regardless of whether the wheels were rotating. This torus shrank in size on the base in the case of rotating wheels, leading to a reduction in the low-pressure footprint on the base, and consequently a 7% decrease in the total vehicle drag in comparison to the stationary wheels case. Furthermore, the lateral vortex shedding experienced a long-period switching associated with the bi-stability in …

Honey-Cnt Based Resistive Switching Device For Neuromorphic Computing Applications, Md Mehedi Hasan Tanim, Abdi Yamil Vicenciodelmoral, Zoe Templin, Xinghui Zhao, Feng Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

Modern computing applications increasingly rely on technologies in artificial intelligence, machine learning, and big data analytics. These applications often demand more powerful and energy-efficient hardware. Resistive switching random access memory (ReRAM) has emerged as a promising solution to satisfy both the storage and computing needs. In this paper, a natural organic honey film embedded with carbon nanotube (CNT) was fabricated into a resistive switching device, and the resistive switching behaviors were investigated. Endurance test results show the cycle-to-cycle variation of set and reset voltages. On/Off ratio in retention test was found to be in the order of ~105 which proves …

Simulation Study Of A Probabilistic Measurement Terminator For Cloud Radar Systems Using Cloudsat Data, Jakob Delong, Joel T. Johnson

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel probabilistic method that is used to identify low-SNR measurements in a cloud profiling radar application and terminate them before completion to save resources. The method uses a statistical model to predict the final SNR level of a measurement in progress and terminate it if it falls below a specified threshold at a specified level of confidence. The method is applied in a simulation study in which radar backscattered power profiles are obtained from CloudSat radar data, and is shown to achieve favorable performance.

Religious Affiliation’S Association With Suicidality Across Sexual Orientations And Gender Identities, W. Justin Dyer, Michael A. Goodman

Faculty Publications

The objective was to replicate and extend earlier findings examining the intersection of sexual orientation and religious affiliation predicting suicidality. Current analyses used updated data and extended prior work by examining how affiliation relates to suicidality for transgender individuals. Data were collected in 2021 from 46,562 adolescents and were representative of Utah adolescents in grades 8, 10, and 12. In regressions, affiliation predicted suicidality and subsequent models added demographics, family functioning, drug use, feeling socially integrated, and interaction terms between sexual orientation, gender identity, and affiliation. In baseline models, affiliation was related to fewer mental health difficulties. When including drug …

Adolescent Religious Motivation: A Self-Determination Theory Approach, Sam A. Hardy, Jenae M. Nelson, Summer B. Frandsen, Amber R. Cazzell, Michael A. Goodman

Faculty Publications

The purpose of the present set of studies was to develop a short and valid measure of religious motivation based on self-determination theory and demonstrate the role of religious motivation on youth outcomes. Participants were from five studies of religious adolescents and their parents from across the U.S (total N = 2982). Using confirmatory factor analyses we created a 12-item Religious Internalization Scale (RIS-12) capturing three forms of religious motivation: external, introjected, and identified. Relations between religious motivation and youth outcomes were assessed using structural equation modeling. In general, identified religious motivation positively predicted adaptive outcomes (e.g., prosocial behaviors, psychological …

Religiosity From Age 12 To 20: Stability, Change, And Bidirectional Effects Of Attendance, Prayer, And Salience, W. Justin Dyer, Sam A. Hardy, Michael Goodman

Faculty Publications

Religiosity is a protective factor for adolescents, though research has indicated religiosity declines across adolescence. However, little research has examined how various dimensions of religiosity may change across time. With yearly data from a sample of 489 participants, the current study examined rank-order and mean level changes in religiosity from early adolescence (12 years-old) into late adolescence/emerging adulthood (20 years-old). Three dimensions of religiosity were examined, public religious practices (religious service attendance), private religious practices (prayer), and religious salience. Using cross-lagged models, reciprocal relationships between these dimensions were examined. There was significant rank-order stability, though stability was highest for attendance. …

Cyber Security Curriculum In Western Australian Primary And Secondary Schools: Interim Report: Curriculum Mapping, Nicola Johnson, Ahmed Ibrahim, Leslie Sikos, Cheryl Glowrey

Research outputs 2022 to 2026

Cyber-crime poses a significant threat to Australians—think of, for example, how scams take advantage of vulnerable people and systems. There is a need to educate people from an early age to protect them from cyberthreats.

Consistent with the increasing prevalence of cyberthreats to individuals and organisations in Australia, the national Australian curriculum has been updated (version 9.0) to include specific content for cyber security for primary and secondary students up to Year 10. Endorsed by Education Ministers in April 2022, the Western Australian School Curriculum and Standards Authority (SCSA) completed a detailed audit of the endorsed Australian Curriculum version 9.0 …

Addressing Filicide In Ghana: Linking Cultural Understanding With The Law Against Filicide. Does The Law Work?, Alhassan Abdullah, Margarita Frederico, Felix Mensah, Hajara Bentum, Yihang Wang, Jennifer Litela Asare

Research outputs 2022 to 2026

Introduction: Consistent with international promulgation on the criminalization of filicide, Ghana’s Children’s Act 1998 (560) and the Criminal Justice Act criminalizes any form of torture against children. Yet, perpetrators of filicide in Ghana may go unpunished due to the beliefs in cultural norms that justify filicide acts. The cultural narratives of filicide can impede on the application and effectiveness of the laws of filicide. Method: The study employed a vignette approach to explore the views of 19 adults, who were parents between 69 years of age and 30 years of age, in rural and urban Ghana on the laws of …

Stem Cell Therapy For Insulin-Dependent Diabetes: Are We Still On The Road?, Lu Yang, Zhu-Meng Hu, Fang-Xu Jiang, Wei Wang

Research outputs 2022 to 2026

In insulin-dependent diabetes, the islet β cells do not produce enough insulin and the patients must receive exogenous insulin to control blood sugar. However, there are still many deficiencies in exogenous insulin supplementation. Therefore, the replacement of destroyed functional β cells with insulin-secreting cells derived from functional stem cells is a good idea as a new therapeutic idea. This review introduces the development schedule of mouse and human embryonic islets. The differences between mouse and human pancreas embryo development were also listed. Accordingly to the different sources of stem cells, the important research achievements on the differentiation of insulin-secreting β …

Designing And Using Innovative Learning Spaces: What Teachers Have To Say, Julia E. Morris, Wesley Imms

Research outputs 2022 to 2026

There is no universal definition of what constitutes an innovative learning environment, because each school is unique. Plans to Pedagogy, developed by the University of Melbourne’s Learning Environments Applied Research Network (LEaRN) team, is exploring issues schools identify as they transition to and use innovative learning environments. Embedded in a range of schools across Australia and New Zealand, each school is assigned an academic who works with them to co-design a project targeting the school’s identified spatial challenge. This paper overviews the eight current Plans to Pedagogy projects to give a sense of the issues faced by teachers in terms …

Group Social Capital And The Employment Prospects Of Refugee Women Who Experience Domestic Violence, Donella Caspersz, Renata Casado, Carol Kaplanian, Farida Fozdar, Loretta Baldassar

Research outputs 2022 to 2026

This paper offers research insights on how refugee women who experience domestic violence develop employment prospects. Guided by social capital theory and the concept of group social capital, the paper uses a qualitative approach to identify intrapersonal and interpersonal processes in a group intervention that assist women members to adjust their cognitive reasoning about their domestic violence experience and engage in behaviours that potentially enhance their employment prospects. The paper contributes to understanding how group processes can foster small wins that may enhance the employment prospects of this vulnerable group.

Early Wildfire Detection Using Uavs Integrated With Air Quality And Lidar Sensors, Doaa Rjoub, Ahmad Alsharoa, Ala'eddin Masadeh

Electrical and Computer Engineering Faculty Research & Creative Works

Every year, wildfires burn out countless hectares of lands, resulting in ecological, environmental, and economic damage. This paper presents an energy management system that consists of an unmanned aerial vehicle (UAV) equipped with air quality and light detection and ranging (LiDAR) sensors for monitoring forests and recognizing flames early. We develop a novel approach for autonomous patrolling system. This approach has the advantage of effectively detecting wildfire incidents, while optimizing the energy consumption of the UAV's battery to cover large areas. When a wildfire is detected, the UAV is able to transmit real-time data, such as sensor readings and LiDAR …

New Hybrid Model For Evaluating The Frequency-Dependent Leakage Inductance Of A Variable Inductance Transformer (Vit), Angshuman Sharma, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

Skin and proximity effects can cause a significant drop in the effective leakage inductance of a transformer when the operating frequency is increased. Although the magnetic image method-based double-2-D model can calculate the low-frequency leakage inductance with sufficient accuracy, it is inherently a frequency-independent model. While Dowell's 1-D model uses frequency-dependent relations to account for both skin and proximity effects, its accuracy is severely affected by the assumed winding geometry. In this paper, a hybrid model is proposed that uses superposition to combine a modified Dowell's model with the double-2-D model. The proposed model is investigated on a variable inductance …

An Interleaved High Step-Up Dc-Dc Converter With Coupled Inductor And Built-In Transformer For Renewable Energy Applications, Ramin Rahimi, Saeed Habibi, Mehdi Ferdowsi, Pourya Shamsi

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces an interleaved high step-up DC-DC converter with high voltage gain, low voltage stresses on the switches, low current stresses on the components, and continuous input current with low ripple, all of which are beneficial for the renewable energy (RE) applications. The proposed converter is based on the integration of three voltage-boosting (VB) methods: coupled inductor (CI), built-in transformer (BIT), and switched-capacitor (SC) cells. The energies of the leakage inductances of the CIs and BIT are absorbed and recirculated to the output side, which further extends the voltage gain. In addition, the current-falling rates of the diodes are …

A Spline-Based Partial Element Equivalent Circuit Method For Electrostatics, Riccardo Torchio, Maximilian Nolte, Sebastian Schops, Albert E. Ruehli

Electrical and Computer Engineering Faculty Research & Creative Works

This contribution investigates the connection between Isogeometric Analysis (IgA) and the Partial Element Equivalent Circuit (PEEC) method for electrostatic problems. We demonstrate that using the spline-based geometry concepts from IgA allows for extracting circuit elements without an explicit meshing step. Moreover, the proposed IgA-PEEC method converges for complex geometries up to three times faster than the conventional PEEC approach and, in turn, it requires a significantly lower number of degrees of freedom to solve a problem with comparable accuracy. The resulting method is closely related to the isogeometric boundary element method. However, it uses lowest-order basis functions to allow for …

Improving Virtual Synchronous Generator Control In Microgrids Using Fuzzy Logic Control, Oroghene Oboreh-Snapps, Rui Bo, Buxin She, Fangxing Fran Li, Hantao Cui

Electrical and Computer Engineering Faculty Research & Creative Works

Virtual synchronous generators (VSG) are designed to mimic the inertia and damping characteristics of synchronous generators (SG), which can improve the frequency response of a microgrid. Unlike synchronous generators whose inertia and damping are restricted by the physical characteristics of the SG, VSG parameters can be more flexibly controlled to adapt to different disturbances. This paper therefore proposes a fuzzy logic controller designed to adaptively set the parameters of the VSG during a frequency event to ensure an improved frequency nadir and rate of change of frequency (ROCOF) response. The proposed control method is implemented and tested on the power …

Chimeranet: U-Net For Hair Detection In Dermoscopic Skin Lesion Images, Norsang Lama, Reda Kasmi, Jason R. Hagerty, R. Joe Stanley, Reagan Harris Young, Jessica Miinch, Januka Nepal, Anand Nambisan, William V. Stoecker

Electrical and Computer Engineering Faculty Research & Creative Works

Hair and ruler mark structures in dermoscopic images are an obstacle preventing accurate image segmentation and detection of critical network features. Recognition and removal of hairs from images can be challenging, especially for hairs that are thin, overlapping, faded, or of similar color as skin or overlaid on a textured lesion. This paper proposes a novel deep learning (DL) technique to detect hair and ruler marks in skin lesion images. Our proposed ChimeraNet is an encoder-decoder architecture that employs pretrained EfficientNet in the encoder and squeeze-and-excitation residual (SERes) structures in the decoder. We applied this approach at multiple image sizes …